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Face Reconstruction

Face reconstruction is the task of recovering the facial geometry of a face from an image.

( Image credit: Microsoft Deep3DFaceReconstruction )

Papers

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Showing 151–175 of 259 papers

TitleStatusHype
Self-Supervised 3D Face Reconstruction via Conditional Estimation—0
Rethinking Deep Face Restoration—0
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network—0
Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications—0
Video Transformer for Deepfake Detection with Incremental Learning—0
Darker than Black-Box: Face Reconstruction from Similarity QueriesCode0
3D human tongue reconstruction from single "in-the-wild" images—0
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement—0
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction—0
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images—0
Inverting Generative Adversarial Renderer for Face Reconstruction—0
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Towards NIR-VIS Masked Face Recognition—0
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing—0
Realistic face animation generation from videos—0
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
Survey on 3D face reconstruction from uncalibrated images—0
Unmasking Communication Partners: A Low-Cost AI Solution for Digitally Removing Head-Mounted Displays in VR-Based TelepresenceCode0
Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification—0
Learning 3D Face Reconstruction with a Pose Guidance Network—0
A Human Ear Reconstruction Autoencoder—0
Learning Complete 3D Morphable Face Models from Images and Videos—0
Pairwise-GAN: Pose-based View Synthesis through Pair-Wise TrainingCode0
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